Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("skshoheb33/my-dreambooth")
prompt = "photo of a xyz"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - skshoheb33/my-dreambooth
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on photo of a xyz using DreamBooth. LoRA for the text encoder was enabled: False.
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Base model
stabilityai/stable-diffusion-2-1